TY  - EJOU
AU  - Sharma, Haresh Kumar 
AU  - Kumari, Kriti 
AU  - Kar, Samarjit 

TI  - Short-term Forecasting of Air Passengers Based on the Hybrid Rough Set and the Double Exponential Smoothing Model
T2  - Intelligent Automation \& Soft Computing

PY  - 2019
VL  - 25
IS  - 1
SN  - 2326-005X

AB  - This article focuses on the use of the rough set theory in modeling of time series 
forecasting. In this paper, we have used the double exponential smoothing (DES) 
model for forecasting. The classical DES model has been improved by using the 
rough set technique. The improved double exponential smoothing (IDES) method can 
be used for the time series data without any statistical assumptions. The proposed 
method is applied on tourism demand of the air transportation passenger data set in 
Australia and the results are compared with the classical DES model. It has been 
observed that the forecasting accuracy of the proposed model is better than that of the 
classical DES model.
KW  - Air passengers
KW  -  DES model
KW  -  Hybrid model
KW  -  Rough set theory
KW  -  Time series forecasting

DO  - 10.31209/2018.100000036